CA2176607C - Radar system and method for detecting targets in clutter using target intensity and angular position - Google Patents

Radar system and method for detecting targets in clutter using target intensity and angular position Download PDF

Info

Publication number
CA2176607C
CA2176607C CA002176607A CA2176607A CA2176607C CA 2176607 C CA2176607 C CA 2176607C CA 002176607 A CA002176607 A CA 002176607A CA 2176607 A CA2176607 A CA 2176607A CA 2176607 C CA2176607 C CA 2176607C
Authority
CA
Canada
Prior art keywords
clutter
theta
target
test function
test
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CA002176607A
Other languages
French (fr)
Other versions
CA2176607A1 (en
Inventor
Michael B. Schober
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Raytheon Co
Original Assignee
Raytheon Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Raytheon Co filed Critical Raytheon Co
Publication of CA2176607A1 publication Critical patent/CA2176607A1/en
Application granted granted Critical
Publication of CA2176607C publication Critical patent/CA2176607C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/28Details of pulse systems
    • G01S7/285Receivers
    • G01S7/292Extracting wanted echo-signals
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/28Details of pulse systems
    • G01S7/285Receivers
    • G01S7/292Extracting wanted echo-signals
    • G01S7/2923Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods
    • G01S7/2927Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods by deriving and controlling a threshold value
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/06Systems determining position data of a target
    • G01S13/42Simultaneous measurement of distance and other co-ordinates
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/50Systems of measurement based on relative movement of target
    • G01S13/52Discriminating between fixed and moving objects or between objects moving at different speeds
    • G01S13/522Discriminating between fixed and moving objects or between objects moving at different speeds using transmissions of interrupted pulse modulated waves
    • G01S13/524Discriminating between fixed and moving objects or between objects moving at different speeds using transmissions of interrupted pulse modulated waves based upon the phase or frequency shift resulting from movement of objects, with reference to the transmitted signals, e.g. coherent MTi
    • G01S13/5242Discriminating between fixed and moving objects or between objects moving at different speeds using transmissions of interrupted pulse modulated waves based upon the phase or frequency shift resulting from movement of objects, with reference to the transmitted signals, e.g. coherent MTi with means for platform motion or scan motion compensation, e.g. airborne MTI

Abstract

A radar system (20) includes a radar receiver (22) that provides the amplitude and the angular position of a plurality of return signals. A computer(30) forms a test function of amplitudes and angular positions of the plurality of return signals and compares the test function with a threshold value. Returns associated with a test function whose value is equal to or greater than the threshold value are determined to be targets (26), and those with lesser values are considered clutter (28).

Description

21 7fi~07 RADAR SYSTEM AND METHOD FOR DETECTING TARGETS
IN CLUTTER USING TARGET INTENSITY AND ANGULAR POSITION
BACKGROUND OF THE INVENTION
This invention relates to radar systems, and, more particularly, to a radar system suited for the identification of targets closely associated with background clutter.
In a radar system, a transceiver (transmitter/receiver) transmits a high frequency signal into space. When the transmitted signal strikes an object, a reflected signal is produced. Some portion of the reflected signal returns to the transceiver and is detected.
If there were a single return signal, the analysis of radar signals would be simple and straightforward. In practice, there are large numbers of return signals detected simultaneously. The returns are generated by a wide variety of features in addition to potential objects of interest, termed targets. If the radar transceiver is aimed on a low trajectory to track low-flying aircraft targets, there are also small-amplitude returns from natural and manmade objects on the ground such as -hills and trees, houses, etc. If the radar transceiver is aimed on a higher trajectory, returns can arise from natural objects such as birds and from natural phenomena such as moisture droplets, hail, etc. Those returns present in addition to target returns are generally termed "clutter" herein.
Target returns can sometimes be clearly distinguished from clutter by their appearance during visual inspection of the radar display screen, as when the target return has a much higher amplitude than the clutter returns. In other instances this visual distinction cannot be made readily, or it is desirable to have the capability to distinguish a target from clutter in an automated fashion.
In military applications, the radar may be in an unmanned missile which must identify targets without any human assistance. In non-military applications, fully automated aircraft landing systems and flight controller systems to serve as a backup for human control are under development. Such control systems could make use of automated target identification radar systems.
One approach now available for the automated identification of targets - among clutter is a radar system utilizing CFAR, or constant false alarm rate detector analysis techniques. In this approach, the amplitude of a return signal is compared to a threshold value which is a multiple of a background amplitude value associated with the clutter. If the return signal is more than this threshold value, the return is judged to be a target rather than clutter.
While operable, the conventional CFAR technique does not reliably distinguish targets from clutter in many cases of practical importance, such as the case of a target mixed with ground clutter, wherein the target and the clutter have comparable radar return amplitudes. In another approach, a target is separated from clutter using a range gate or Doppler filtering. If the target is close to or immersed in the clutter, the range gating technique is not useful. If the target is moving at an approximately constant distance from the transceiver, the Doppler-based technique is not successful in identifying the target.
There is a need for an improved radar system that reliably distinguishes targets from clutter. The present invention fulfills this need, and further provides related advantages.
SUMMARY OF THE INVENTION
The present invention provides a radar system and method for distinguishing targets from clutter in a variety of circumstances. Although the approach is widely applicable, it is particularly useful in radar systems that are used to detect targets closely associated with clutter, such as targets where there is an attempt to mask the target using the clutter.
In accordance with the invention, a radar system comprises a radar receiver including means for determining the amplitude and the angular position of a plurality of return signals, and means for identifying targets and clutter among the return signals. The means for identifying includes means for forming a test function of amplitudes and angular positions of the return signals, and means for comparing the test function with a threshold value.

_ I
In a related technique, a method for identifying target returns in a radar system comprises the steps of providing the amplitude and angular position values of a plurality of radar return signals including at least one potential target and clutter, forming a test function of amplitudes and angular positions of the return signals, and comparing the test function with a threshold value.
The present approach differs from prior approaches in that it utilizes a radar system including a test function that includes both amplitude and angular position information. In many cases, clutter signals are somewhat clustered, as in the case of ground returns near to an aircraft flying near the horizon.
This observation, incorporated into the approach through the angular position information, aids in achieving a better discrimination of the target relative to the clutter.
The test function is preferably found by forming a likelihood ratio test using a joint distribution of amplitude and angular position information. The angular position information is defined relative to a convenient reference such as a boresight of a missile having a forwardly facing radar transceiver. In a preferred case, the test function is of the form A/B > y, wherein A = EXP-(6-6,~Q1)2 x R/(Ro2+RT2) x EXP-(R2/2(Ro2+RT2)), and B = EXP-(6-6o/ao)2 x R/R 2 x EXP-(R2/2(Ro2)), wherein 8 is the angular position of a test return signal, 61 is the expected power centroid from the combined target and clutter return, Q 1 is the standard deviation of 91, 6o is the average angle of the clutter, ao is the standard deviation of 60, R is the amplitude of the test return signal, Ro2 is the average power of the clutter, and RT2 is the expected power of the target. Based upon such a function, substantially equivalent relationships can be developed using simplifying assumptions and additional information concerning the particular circumstances and radar system.
The test function is preferably computed by a computer configured to perform the required calculations. Once the test function is calculated, it is compared with a threshold value determined by sampling the return signals and multiplying by a constant. If the test function is larger than the threshold - - 4 2~~sso~
value, it is concluded that the return under test is a target.
According to one aspect of the present invention there is provided a radar system, comprising:
a radar receiver including means for determining the amplitude and the angular position of a plurality of return signals; and means for identifying targets and clutter among the return signals, the means for identifying including means for forming a test function of amplitudes and angular positions of the return signals, said means for forming a test function including means for forming a function substantially equivalent to the function A/B, where:
A = EXP-(0-0,/6,)2 x R/(R 2+RTZ) x EXP-(RZ/2(Ro2+R.r2)), and B = EXP-(0-0o/ao)2 x R/Ra2 x EXP-(RZ/2(R 2)), wherein 0 is the angular position of a test return signal, 0, is the expected power centroid from the combined target and clutter return, 6, is the standard deviation of 8,, Oo is the average angle of the clutter, ao is the standard deviation of 0~, R
is the amplitude of the test return signal Ro2 is the average power of the clutter, and RTZ is the expected power of the target; and means for comparing the test function with a threshold value.
According to another aspect of the present invention there is provided method for identifying target returns in a radar system, comprising the steps of:
obtaining the amplitude and angular position values of a plurality of radar return signals including at least one potential target and clutter;
determining a threshold value;
forming a test function of amplitudes and angular positions of the return signals, said test function being substantially equivalent to the function A/B, where:
A = EXP-(0-0,/6,)2 x R/(Ro2+RTZ) x EXP-(RZ/2(Ro2+RTZ)), and B = EXP-(0-0o/ao)2 x R/Ro2 x EXP-(RZ/2(Rfl2)), wherein 0 is the angular position of a test return signal, 0, is the expected power centroid from the combined target and clutter return, 6, is the standard deviation of 0"
0o is the average angle of the clutter, 6o is the standard deviation of 0~, R
is the amplitude of the test return signal Ro2 is the average power of the clutter, and RTZ is the expected power of the target; and 4a 2 ~ 7 comparing the test function with the threshold value.
The present invention provides a more accurate approach for dete«ZOining the presence of targets in clutter than previously available. The improvement is particularly valuable when the clutter is clustered about an angular relation in relation to the transceiver, an uncommon situation. The present approach does not depend upon either range gating or Doppler filtering, and is therefore better suited to detect targets that are at about the same distance from the transceiver as the clutter and are not moving toward or away from the transceiver. Other features and advantages of the present invention will be apparent from the following more detailed description of the preferred embodiment, taken in conjunction with the accompanying drawings, which illustrate, by way of example, the principles of the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
Figure 1 is a schematic diagram of a radar system in accordance with the invention;
Figure 2 is a schematic diagram of a scene having clustered clutter as viewed on a radar video display, wherein the polarity of the target is known;
Figure 3 is a schematic diagram of a scene having clustered clutter as viewed on a radar video display, wherein the polarity of the target is unknown;
Figure 4 is a schematic Doppler/range map used in radar signal return analysis;
Figure 5 is a block diagram of a method for determining a target amidst clutter;
Figure 6 is a diagram depicting data flow for a preferred embodiment of the present approach;
Figure 7 is a graph of a decision space according to the present approach for a first embodiment of the test function;
Figure 8 is a graph of a decision space according to the present invention, after simplifying assumptions have been made;
Figure 9 is a graph of a decision space similar to that of Figure 7, indicating the region where a target would be detected when the present A

.,.., -s-approach is used, but would not be detected when a prior approach is used;
Figure 10 is a graph of test results utilizing the present approach as compared with a prior approach; and Figure 11 is a graph of a decision space for a second embodiment of the test function.
DETAILED DESCRIPTION OF THE INVENTION
Figure 1 depicts a missile 18 with a radar system 20 including a radar transceiver 22 which transmits radar signals having an indicated antenna mainlobe beamwidth (corresponding to a field of view), and receives return signals from objects 24. The radar system operates with a range gate that permits selection only of those objects 24 lying within a selected range band, obtained by selecting only those objects which produce return signals lying within a preselected time interval after radar signal transmission. In operation of the radar system 20, the range gate is systematically varied to scan the field of view between small and large ranges. The objects 24 can include a target 26 and clutter 28 lying within the range gate. Figure 1 illustrates the target well separated from the clutter 28 for clarity, but in many cases the target return is quite close to, or even mixed with, the clutter return, as when the target is flying close to the ground or is a ground target.
The return signals are provided to a computer 30 where they are digitized and, optionally, to a display 32. In many instances, the radar system 20 does not include a display, as the radar system is utilized in an unmanned vehicle. Figure 1 illustrates the possible use of a display 32 at a remote ground station 34, as a basis fvr the discussion of succeeding figures. The radar transceiver 22 of Figure 1 is illustrated as being aimed so that the antenna mainlobe beamwidth is directed along a boresight 36 of the missile, an imaginary line directed forwardly of the missile 18 and which provides a frame of reference for angular measurements. The radar system 20 has the capability to determine the amplitude of a signal return and its angular position relative to some reference, which is conveniently chosen as the boresight.

-6- ' Figures 2 and 3 illustrate two scenes of the type that are viewed on the radar display 32 in particular situations. Targets in these scenes are more readily detected in these scenes using the radar system of the invention than prior radar systems. In Figure 2, there are two potential targets 26a and 26b and clutter 28, all located at angles relative to the boresight 36, which is selected as the reference zero angle. (Figures 2 and 3 illustrate elevational angles, but the same analysis is applicable to azimuthal angles.) From information concerning the nature of the target, it is known that either of the targets 26a or 26b must be located at an angle greater than that of the average angle of the clutter 28, relative to the boresight. This is an example of a target of known "polarity", wherein the target is known to have a particular angular relation to the clutter. In another case, illustrated in Figure 3, the target may be either above the clutter 28 (target 26c) or below the clutter (target 26d), and therefore its angular position relative to the clutter is not known with certainty.
This is an example of a target of unknown polarity.
Each of the radar returns for the targets and the clutter indicated in Figures 2 and 3 have associated values of signal return amplitude (i.e., the strength of the signal) and signal return position (i.e., the angular position of the return relative to the boresight). It is customary practice to analyze radar return signals in terms of their Doppler values and their range, as schematically illustrated in Figure 4. Figure 4 illustrates radar returns for a potential target 26 and many clutter 28 objects. Although the labelling of Figure 4 indicates that one of the returns is the target, the identify of the return which is the target is not known prior to the start of the analysis, nor even if a target is present.
Each of the returns in Figure 4 has an associated amplitude R and angular position B.
In conventional CFAR approaches, only the amplitude of each return signal is analyzed to distinguish a target from clutter. In the present approach, both the amplitude and the angular position of each return signal are analyzed to distinguish a target from clutter. As will be demonstrated, the present approach permits the detection of targets in a more reliable fashion than does the prior approach. This capability becomes more significant as technology advances permit the target signal return to be made so small that it has an 21 76fi07 amplitude comparable with that of the clutter, or even less than that of the clutter.
Figure 5 illustrates a method in accordance with the present invention.
For each return signal received by the radar transceiver 22, the amplitude and angular position values of the return signal are determined by the computer, numeral 40. The absolute values of this information are not important for the present purposes, only the values relative to some common standard. However, for convenience, the amplitude is determined relative to zero amplitude and the angular position value is determined relative to a reference axis, which is preferably the boresight 36 for the radar system depicted in Figure 1.
Threshold values are determined for the amplitude and angular position, numeral 42. To determine the threshold values, the radar return signal is digitized, and samples of return signals are picked in an area to be analyzed.
The amplitudes of the samples are averaged, and the average amplitude is multiplied by a first constant weighting factor, to obtain the amplitude threshold value. Similarly, the angular positions relative to the reference axis are averaged to obtain an average angular value and multiplied by a second constant weighting factor, to obtain the angular threshold value. Thus, values of R/Ro and 6/6o are compared to their respective threshold values in one form of the implementation of the present approach. Equivalently, a joint R, 8 threshold is determined from these same relations. The two weighting factors are selected to provide an acceptable false alarm rate. They are constants whose values can be varied as desired to increase or decrease the likelihood of a false alarm, that is, indicating a return to be a target when it is in fact clutter.
A test function is also formed for any particular signal return that is to be tested as a potential target, numeral 44. The preferred test function, developed under the assumption that the amplitude distribution is a Rayleigh distribution and that the angular distribution is Gaussian, is of the form A/B, where A = EXP-(6-81/ai)2 x R/(Ro2+RT2) x EXP-(R2/2(R 2+RTZ)), and B = EXP-(6-BoJQo)2 x R/Ro2 x EXP-(R2/2(Ro2)), 21 7fi607 _g_ wherein 8 is the angular position of a test return signal, 81 is the expected power centroid from the combined target and clutter return, a 1 is the standard deviation of 61, 6o is the average angle of the clutter, ao is the standard deviation of 80, R is the amplitude of the test return signal, R 2 is the average power of the clutter, and RT2 is the expected power of the target. In this expression, A is associated with the case where if a target is present, and B
is associated with the case where no target is present. The test function of this form is termed a "combined function" because both amplitude and angular information are utilized together in a single expression. This is to be contrasted with a second, but less preferred embodiment, termed a "separate function", to be discussed subsequently, wherein both amplitude and angular information are used but in separate expressions.
The applicability of the present invention is not limited to the use of this particular test function, and any operable test function applicable to particular situations may be used. In the preferred case, the single test function is a combined or simultaneous function of amplitude and angular information. Less preferably, there can be two test functions, one using amplitude information and the other angular information, which are applied together to analyze the information. The latter case is less preferred because it has been shown to be less precise than the preferred case, but even then it provides an improvement over the prior CFAR amplitude-only approach.
This test function may be simplified for practical applications in situations like that shown in Figure 1 by assuming (1) that o 1 is approximately equal to oo, (2) that RT2~(Ro2+RT2) is approximately equal to unity, and (3) that the target is close to the boresight. The test function then simplifies to the form (e- _eo)2 - (e-el)2 + R2/R 2 -1 > Joint R,6 Threshold.
The computer 30 digitally evaluates the return signal being tested.
However, for interpretative purposes this relation can be represented graphically as shown in Figure 7. If the values of (6-60) and (R2/R 2) for a return being evaluated as a target are such that the return lies on or above the curve in Figure 7, the decision is made that the target is detected. . If the values of (8-60) and (R2/Ro2) are such that the return being evaluated lies below the curve in Figure 7, the decision is made that no target is detected. Stated alternatively, when the polarity is unlrnown, (8-80)2 + R2/Ro2 -1 z Joint R,8 Threshold, is used to evaluate for the detection of a target in this general case.
The concept of polarity of the expected location of a target relative to clutter was discussed in relation to Figures 2-3. This information may be used to speed the testing of the return signals for the presence of a target, and also to compare the present approach with the prior approach. Thus, the above relation may be reduced to the test that if R/Ro s amplitude threshold, a detection is declared else (8-Ao)*(R2/R 2 -1) z Joint R,6 Threshold [where polarity is known], ~ 6-80 ~ *(R2/Ro2 -1) ~ Joint R,8 Threshold [where polarity is unlrnown].
This simplified approach is depicted graphically in Figure 8 and operationally in Figure 6. The amplitude and angular position samples of the radar returns are taken, numeral 50. The values are tested under the assumption that one of the returns is a target and the rest of the returns are clutter. Based upon this assumption, the values of R and B are determined for the target, and the values of Ro and 8o are determined for the clutter. When R/Ro is equal to or greater than the amplitude threshold, a target is declared and it is not necessary to utilize the angular position information, numeral 52.
On the other hand, if R/Ro is less than the amplitude threshold, the present approach allows a target to be detected using the angular position information in some cases where the prior approach, using only amplitude information, would not detect a target. The angular orientation-dependent calculations are made according to the above discussion and the polarity information, if available, numeral 54. A target is declared, numeral 56, if either the amplitude-only test is satisfied, numeral 52, or the amplitude/angular orientation test is satisfied, numeral 54.
The approach of the present invention results in improved target ' 2176607 ,~,...

detection as compared with a conventional test wherein only the signal return amplitude information is used. Figure 9 depicts the region of improved target detection in the graphical form of Figures 7-8. Targets whose amplitude ratio is below that which can be detected by the conventional test, but which are angularly sufficiently separated in 6-6° from the radar reference axis (such as the boresight), can be detected by the present approach but not by the prior, amplitude-only, approach.
This conclusion was confirmed by a computer simulation in which simulated Rayleigh amplitudes and Gaussian angles were used to generate 100,000 monte carlo trials at different signal-to-clutter ratios. With the probability of false alarm maintained constant at about 10-3, results were obtained for the conventional amplitude-only approach and the present approach using the known-polarity case. The present approach was evaluated for two angular separations of the target from the clutter, 1° and 3°, both of which are quite small separations. The results of the simulations are shown in Figure 10.
As the target-to-clutter amplitude ratio increases (horizontal axis), both of the approaches become increasingly capable of detecting the target (vertical axis).
The present approach yields improved results for all cases, but the results are most significantly improved for low target-to-clutter amplitude ratios and moderate angular position separations of the target from the clutter. For example, for a target-to-clutter ratio of 6dB and a target-to-clutter angular position separation of 3°, the probability of detection using the present approach is about 8-10 times greater than that obtained using the conventional, amplitude-only, approach. The result is that the present approach permits the target which is slightly angularly separated from the clutter to be identified earlier and with greater certainty than previously possible.
In another embodiment, both the amplitude and angular information are used, but in a separate function rather than a combined function. In a preferred approach of this type, R/Ro and (8-8°) taken together constitute the test functions, each of which involves only one of the quantities amplitude and angular position. Either of the two test functions may be satisfied for a target to be declared, according to the relations 21 7fi607 R/Ro >_ Amplitude Threshold, or 8-60 ~ Angular Threshold.
Figure 11 illustrates the application of this technique. The shaded area again represents the area of target detection that would not be achieved by traditional CFAR approaches. While operable, this approach is less preferred because the use of separate functional relations of amplitude and angular positions yields less precise target discrimination than does the use of a combined functional relation of amplitude and angular position.
Although a particular embodiment of the invention has been described in detail for purposes of illustration, various modifications and enhancements may be made without departing from the spirit and scope of the invention.
Accordingly, the invention is not to be limited except as by the appended claims.

Claims (11)

1. A radar system, comprising:
a radar receiver including means for determining the amplitude and the angular position of a plurality of return signals; and means for identifying targets and clutter amond the return signals, the means for identifying including means for forming a test function of amplitudes and angular positions of the return singals, said means for forming a test function including means for forming a function substantially equivalent to the function A/B, where:
A = EXP-(.theta.-.theta.1/.sigma.1)2xR/(R O2+R T2)xEXP-(R2/2(R O2+R T2)), and B = ExP-(.theta.-.theta.0/.sigma.0)2xR/R0 2xExP-(R2/2(R0 2)), wherein A is the angular position of a test return signal, .theta.1 is the expected power centroid from the combined target and clutter return, .sigma.1 is the standard deviation of .theta.1, .theta.0 is the average angle of the clutter, .sigma.0 is the standard deviation of .theta.0, R is the amplitude of the test return signal R O2 is the average power of the clutter, and R T2 is the expected power of the target; and means for comparing the test function with a threshold value.
2. The rader system of claim 1, wherein the means for identifying comprises:
a computer configured to form the test function and to compare the test function with the threshold value.
3. The radar system of claim 1, wherein the means for forming a test function includes:
means for determining an average amplitude value for the plurality of return signals; and means for determining an average angular positioni value for the plurality of return signals.
4. The radar system of claim 3, wherein the means for forming a test function further includes:
means for fomring the test function for a test return signal as a function of the amplitude and angular position of the test return signal and the average amplitude value and the average angular position value.
5. The radar system of claim 1, wherein the means for forming a test function includes means for determining an angular position relative to a preselected reference value.
6. The radar system of claim 1, wherein the means for identifying targets and clutter includes:
means for sampling the return signal to provide a plurality of sample power values, and means for forming the threshold value from the plurality of sample power values.
7. The radar system of claim 1, wherein the means for identifying targets and clutter includes:
means for sampling the return signal to provide a plurality of angular position values; and means for forming the threshold value from the plurality of angular position values.
8. The radar system of claim 1, wherein the radar system further comprises:
a radar transmitter.
9. The radar system of claim 1, wherein the test function is a combined test function of amplitudes and angular positions.
10. The radar system of claim 1, wherein the test function is a separate test function of amplitudes and angular positions.
11. A method for identifying target returns in a radar system, comprising the steps of:
obtaining the amplitude and angular position values of a plurality of radar return signals including at least one potential target and clutter;
determining a threshold value;
forming a test function of amplitudes and angular positions of the return signals, said test function being substantially equivalent to the function A/B, where:
A = EXP-(.theta.-.theta.1/.sigma.1)2xR/(R O2+R T2)xEXP-(R2/2(R O2+RT2)), and B = ExP-(.theta.-.theta.0/.sigma.0)2xR/R0 2xExP-(R2/2(R O2)), wherein .theta. is the angular position of a test return signal, .theta.1 is the expected power centroid from the combined target and clutter return, .sigma.1 is the standard deviation of .theta.1, .theta.0 is the average angle of the clutter, .sigma.0 is the standard deviation of .theta.0, R is the amplitude of the test return signal R O2 is the average power of the clutter, and R T2 is the expected power of the target; and comparing the test function with the threshold value.
CA002176607A 1995-06-07 1996-05-14 Radar system and method for detecting targets in clutter using target intensity and angular position Expired - Fee Related CA2176607C (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US08/485,743 US5594450A (en) 1995-06-07 1995-06-07 Radar system and method for detecting targets clutter using target intensity and angular position
US08/485,743 1995-06-07

Publications (2)

Publication Number Publication Date
CA2176607A1 CA2176607A1 (en) 1996-12-08
CA2176607C true CA2176607C (en) 2000-07-11

Family

ID=23929294

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002176607A Expired - Fee Related CA2176607C (en) 1995-06-07 1996-05-14 Radar system and method for detecting targets in clutter using target intensity and angular position

Country Status (10)

Country Link
US (1) US5594450A (en)
EP (1) EP0747723B1 (en)
JP (1) JP2889185B2 (en)
KR (1) KR0167430B1 (en)
AU (1) AU685024B2 (en)
CA (1) CA2176607C (en)
DE (1) DE69606094T2 (en)
ES (1) ES2140788T3 (en)
IL (1) IL118567A (en)
NO (1) NO316244B1 (en)

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
NL9301552A (en) * 1993-09-08 1995-04-03 Hollandse Signaalapparaten Bv Radar device.
US5748140A (en) * 1996-03-28 1998-05-05 Hughes Electronics System for tracking radar targets in background clutter
US5736956A (en) * 1996-06-04 1998-04-07 Hughes Electronics Unlocked W-band receiver with coherent features
SE509514C2 (en) * 1997-06-18 1999-02-08 Ericsson Telefon Ab L M Device and method for calculating the speed of movement of a moving transmitter
DE19738252C2 (en) * 1997-09-02 2002-07-11 Eads Deutschland Gmbh Process for the detection of a radar target
US6333986B1 (en) 1998-05-08 2001-12-25 Lockheed Martin Corporation Cepstral method and system for detecting/classifying objects from air-based or space-based images
US6710743B2 (en) * 2001-05-04 2004-03-23 Lockheed Martin Corporation System and method for central association and tracking in passive coherent location applications
DE60239326D1 (en) * 2001-05-04 2011-04-14 Lockheed Corp SYSTEM AND METHOD FOR DETECTION AND SPECIAL EXTRACTION FOR PASSIVE COHERENT LOCATION APPLICATIONS
US6937746B2 (en) * 2001-05-31 2005-08-30 Northrop Grumman Corporation System and method for automatic recognition of formations in moving target indication data
KR20030034601A (en) * 2001-10-26 2003-05-09 엘지이노텍 주식회사 Target detection circuit
DE10238896B4 (en) * 2002-08-24 2006-12-28 Eads Deutschland Gmbh Method for evaluating radar data
US6943724B1 (en) 2002-10-30 2005-09-13 Lockheed Martin Corporation Identification and tracking of moving objects in detected synthetic aperture imagery
US6864828B1 (en) 2003-02-18 2005-03-08 Lockheed Martin Corporation Method and apparatus for collection and processing of interferometric synthetic aperture radar data
US6816109B1 (en) 2003-08-04 2004-11-09 Northrop Grumman Corporation Method for automatic association of moving target indications from entities traveling along known route
US7292180B2 (en) * 2005-06-13 2007-11-06 Raytheon Company System and method for passively estimating angle and range of a source using signal samples collected simultaneously from a multi-aperture antenna
US7675458B2 (en) * 2006-11-09 2010-03-09 Raytheon Canada Limited Dual beam radar system
US9115996B2 (en) * 2009-07-29 2015-08-25 Lockheed Martin Corporation Threat analysis toolkit
JP2011185639A (en) * 2010-03-05 2011-09-22 Toshiba Corp Signal processing parameter analyzer and radar device
KR101524141B1 (en) * 2014-12-29 2015-05-29 엘아이지넥스원 주식회사 Apparatus and method for detecting target
RU2692470C2 (en) * 2016-11-21 2019-06-25 Федеральное государственное казенное военное образовательное учреждение высшего образования "Военный учебно-научный центр Военно-воздушных сил "Военно-воздушная академия имени профессора Н.Е. Жуковского и Ю.А. Гагарина" (г. Воронеж) Министерства обороны Российской Федерации Method of complex identification of objects detected by a radar station

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2072451B (en) * 1980-03-24 1984-02-29 Marconi Co Ltd Signal rank detectors
NL8005923A (en) * 1980-10-29 1982-05-17 Hollandse Signaalapparaten Bv PLOT GENERATOR.
GB2122449B (en) * 1982-04-10 1986-10-29 Licentia Gmbh Detecting targets and suppressing clutter in radar
DE3430888A1 (en) * 1984-08-22 1986-03-06 Messerschmitt-Bölkow-Blohm GmbH, 8012 Ottobrunn DEVICE FOR DETECTING AND FIGHTING UNDERLYED GROUND TARGETS
DE3744691C2 (en) * 1986-08-29 2002-03-07 Alenia Marconi Systems Ltd Method and device for evaluating radar target pulses
FR2637692B1 (en) * 1988-10-11 1991-03-01 Thomson Csf PLOT VALIDATION METHOD AND DEVICE FOR RADAR WITH SELF-ADAPTIVE UPDATE

Also Published As

Publication number Publication date
JP2889185B2 (en) 1999-05-10
AU685024B2 (en) 1998-01-08
EP0747723B1 (en) 2000-01-12
AU5228796A (en) 1996-12-19
ES2140788T3 (en) 2000-03-01
NO962366D0 (en) 1996-06-06
US5594450A (en) 1997-01-14
CA2176607A1 (en) 1996-12-08
DE69606094T2 (en) 2000-09-28
KR0167430B1 (en) 1999-03-30
NO316244B1 (en) 2003-12-29
IL118567A0 (en) 1996-10-16
EP0747723A3 (en) 1997-02-05
JPH0921864A (en) 1997-01-21
KR970002381A (en) 1997-01-24
DE69606094D1 (en) 2000-02-17
EP0747723A2 (en) 1996-12-11
IL118567A (en) 1999-06-20
NO962366L (en) 1996-12-09

Similar Documents

Publication Publication Date Title
CA2176607C (en) Radar system and method for detecting targets in clutter using target intensity and angular position
CA2200921C (en) System for tracking radar targets in background clutter
EP0898717B1 (en) Autonomous landing guidance system
US6756935B1 (en) Full polarization ground moving target indicator radar automatic target detection algorithm
JPH06500861A (en) Windshear radar system with high and low altitude radar scans
PL220849B1 (en) Weather and airborne clutter suppression using a cluster shape classifier
US20110133979A1 (en) Method and system for detecting ground obstacles from an airborne platform
Jovanoska et al. Multisensor data fusion for UAV detection and tracking
US4660044A (en) Spinning linear polarization radar mapping method
Jose et al. Millimetre wave radar spectra simulation and interpretation for outdoor slam
EP1065519A1 (en) Autonomous landing guidance system
US5247311A (en) Loro antenna and pulse pattern detection system
Stehwien et al. A statistical radar clutter classifier
Kohlleppel Ground target tracking with signal adaptive measurement error covariance matrix
US6002358A (en) Method and apparatus for determining whether two radar tracks represent the same physical object
Leonardi et al. W-band multi-radar processing for airport foreign object debris and humans detection
Aziz et al. Human detection with and without weapon using LTE-based passive Forward Scattering Radar System
RU2128846C1 (en) Method for detection of parameters of ground obstacles for low-level aircraft flights
RU2796428C1 (en) Device and method for reducing the probability of false paths and automatic adaptation of the secondary radar to the installation site
Johnson et al. Moving target exploitation
CN115616513A (en) Land and sea clutter classification method and device for airborne radar echo data
Mostafa et al. Augmented doppler filter bank based approach for enhanced targets detection
Rosario End-to end performance of the TESAR ATR system
Ince et al. The design and computer simulation of a maritime surveillance system
Brager et al. Potential surveillance system modifications for enhanced low observable target tracking

Legal Events

Date Code Title Description
EEER Examination request
MKLA Lapsed

Effective date: 20140514